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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A blood-based marker of mitochondrial DNA damage in Parkinson’s disease
|
|---|---|
| Published in |
Science Translational Medicine, August 2023
|
| DOI | 10.1126/scitranslmed.abo1557 |
| Pubmed ID | |
| Authors |
Rui Qi, Esther Sammler, Claudia P Gonzalez-Hunt, Ivana Barraza, Nicholas Pena, Jeremy P Rouanet, Yahaira Naaldijk, Steven Goodson, Marie Fuzzati, Fabio Blandini, Kirk I Erickson, Andrea M Weinstein, Michael W Lutz, John B Kwok, Glenda M Halliday, Nicolas Dzamko, Shalini Padmanabhan, Roy N Alcalay, Cheryl Waters, Penelope Hogarth, Tanya Simuni, Danielle Smith, Connie Marras, Francesca Tonelli, Dario R Alessi, Andrew B West, Sruti Shiva, Sabine Hilfiker, Laurie H Sanders |
X Demographics
The data shown below were collected from the profiles of 128 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 40 | 31% |
| United Kingdom | 10 | 8% |
| Israel | 3 | 2% |
| Japan | 2 | 2% |
| Canada | 2 | 2% |
| Australia | 2 | 2% |
| Germany | 1 | <1% |
| Italy | 1 | <1% |
| Switzerland | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 61 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 85 | 66% |
| Scientists | 32 | 25% |
| Practitioners (doctors, other healthcare professionals) | 9 | 7% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 18% |
| Student > Ph. D. Student | 5 | 13% |
| Other | 4 | 10% |
| Professor | 4 | 10% |
| Professor > Associate Professor | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 14 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 8 | 20% |
| Biochemistry, Genetics and Molecular Biology | 7 | 18% |
| Medicine and Dentistry | 3 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 16 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2230. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 April 2024.
All research outputs
#3,874
of 25,870,142 outputs
Outputs from Science Translational Medicine
#4
of 5,131 outputs
Outputs of similar age
#96
of 359,354 outputs
Outputs of similar age from Science Translational Medicine
#1
of 68 outputs
Altmetric has tracked 25,870,142 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,131 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 93.0. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 359,354 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.